iPad Pro 13-inch (M4)
Geekbench AI Score
4736
Single Precision Score
7867
Half Precision Score
6399
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 11:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
3329
619.1 IPS |
|
|
Image Classification (Q)
|
96% |
2345
437.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3319
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3732
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10021
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18997
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16555
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2740
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
7966
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
4620
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8418
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14865
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10400
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25313
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38416
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31910
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5727
211.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6739
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5390
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5631
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6902
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6915
119.5 IPS |
